Alyssa Russ

628 total citations · 1 hit paper
8 papers, 416 citations indexed

About

Alyssa Russ is a scholar working on Cellular and Molecular Neuroscience, Physiology and Neurology. According to data from OpenAlex, Alyssa Russ has authored 8 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Physiology and 3 papers in Neurology. Recurrent topics in Alyssa Russ's work include Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Alyssa Russ is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Alyssa Russ collaborates with scholars based in United States and Spain. Alyssa Russ's co-authors include Brian J. Bacskai, Steven S. Hou, Eloïse Hudry, María Calvo-Rodríguez, Alona Muzikansky, Austin Snyder, Sudeshna Das, Zhanyun Fan, Mónica García‐Alloza and Alberto Serrano‐Pozo and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Alyssa Russ

8 papers receiving 413 citations

Hit Papers

Increased mitochondrial calcium levels associated with ne... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alyssa Russ United States 7 216 191 122 66 46 8 416
Lucia Pagani Switzerland 8 197 0.9× 292 1.5× 111 0.9× 51 0.8× 58 1.3× 10 578
Н. В. Бобкова Russia 14 245 1.1× 201 1.1× 92 0.8× 110 1.7× 65 1.4× 25 522
Giovana Brolese Brazil 11 242 1.1× 136 0.7× 143 1.2× 104 1.6× 66 1.4× 13 562
N. I. Medvinskaya Russia 11 208 1.0× 180 0.9× 74 0.6× 104 1.6× 43 0.9× 24 437
Michela Giustizieri Italy 11 244 1.1× 122 0.6× 237 1.9× 99 1.5× 33 0.7× 15 560
Н. В. Бобкова Russia 13 241 1.1× 206 1.1× 70 0.6× 91 1.4× 33 0.7× 49 482
Ludovica Iovino Italy 9 155 0.7× 120 0.6× 137 1.1× 158 2.4× 32 0.7× 17 503
Ekaterina A. Rudnitskaya Russia 11 181 0.8× 271 1.4× 84 0.7× 90 1.4× 35 0.8× 22 500
Guillermo Moya‐Alvarado Chile 10 180 0.8× 111 0.6× 185 1.5× 59 0.9× 30 0.7× 15 475

Countries citing papers authored by Alyssa Russ

Since Specialization
Citations

This map shows the geographic impact of Alyssa Russ's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alyssa Russ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alyssa Russ more than expected).

Fields of papers citing papers by Alyssa Russ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alyssa Russ. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alyssa Russ. The network helps show where Alyssa Russ may publish in the future.

Co-authorship network of co-authors of Alyssa Russ

This figure shows the co-authorship network connecting the top 25 collaborators of Alyssa Russ. A scholar is included among the top collaborators of Alyssa Russ based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alyssa Russ. Alyssa Russ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Youssef, Gilbert, Justin D. Lathia, Eudocia Q. Lee, et al.. (2024). Phase 1b/2a study evaluating the combination of MN-166 (ibudilast) and temozolomide in patients with newly diagnosed and recurrent glioblastoma (GBM).. Journal of Clinical Oncology. 42(16_suppl). 2016–2016. 2 indexed citations
2.
Zhao, Qiuchen, Heng Zhou, Fang Zhang, et al.. (2023). Sleep restoration by optogenetic targeting of GABAergic neurons reprograms microglia and ameliorates pathological phenotypes in an Alzheimer’s disease model. Molecular Neurodegeneration. 18(1). 93–93. 19 indexed citations
3.
Russ, Alyssa, Qiuchen Zhao, Steven S. Hou, et al.. (2023). Optogenetic targeting of astrocytes restores slow brain rhythm function and slows Alzheimer’s disease pathology. Scientific Reports. 13(1). 13075–13075. 10 indexed citations
4.
Kelly, Patricia, María V. Sánchez-Mico, Steven S. Hou, et al.. (2023). Neuronally Derived Soluble Abeta Evokes Cell-Wide Astrocytic Calcium Dysregulation in Absence of Amyloid Plaquesin Vivo. Journal of Neuroscience. 43(26). 4926–4940. 11 indexed citations
5.
Algamal, Moustafa, Alyssa Russ, Steven S. Hou, et al.. (2022). Reduced excitatory neuron activity and interneuron-type-specific deficits in a mouse model of Alzheimer’s disease. Communications Biology. 5(1). 1323–1323. 22 indexed citations
6.
Russ, Alyssa, et al.. (2021). Novel Botanical Therapeutic NB-02 Effectively Treats Alzheimer’s Neuropathophysiology in an APP/PS1 Mouse Model. eNeuro. 8(3). ENEURO.0389–20.2021. 6 indexed citations
7.
Calvo-Rodríguez, María, Steven S. Hou, Austin Snyder, et al.. (2020). Increased mitochondrial calcium levels associated with neuronal death in a mouse model of Alzheimer’s disease. Nature Communications. 11(1). 2146–2146. 315 indexed citations breakdown →
8.
Russ, Alyssa, et al.. (2020). The Nucleus Accumbens Core is Necessary to Scale Fear to Degree of Threat. Journal of Neuroscience. 40(24). 4750–4760. 31 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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